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Uedu 平台上的功能不是憑空設計，而是源自教學現場的真實需求，並透過嚴謹的學術研究驗證成效。我們邀請每一位教師放心使用，也歡迎將您的教學實驗回饋給我們。
每項功能都對應至少一篇經過同儕審查的學術論文，發表於 IEEE、LAK 等國際會議
研究源自真實課堂中的教學需求，從 Python 程式設計到跨領域通識課程
您的教學實踐也能成為研究，Uedu 提供完整的研究支援，從實驗設計到資料匯出
Enhancing Academic Performance with Generative AI-Based Quiz Platform
C.-K. Chang and L.-C.-T. Chien
Developing AI-Based Automated Post-Rating System to Scaffold Interdisciplinary Knowledge-Sharing
C.-K. Chang, P.-C. Chen, Z.-S. Chen, and T. M. Kuo
Analysis of a Generative AI-Based Graphical Learning Assistance Tool in IPR Courses
C.-C. Yen, P.-T. Hsieh, Y.-C. Chen, and C.-K. Chang
A Generative Artificial Intelligence-Based Python Learning Assistance System: Assessing Its Impact on Instrument Automation Skills
K. S. Phay and C.-K. Chang
Correlation Analysis of Conversational Focus with Learning Experience in Python Courses
C.-C. Yen, Y.-Y. Chang, Y.-Z. Chai, P.-T. Hsieh, K.-H. Li, and C.-K. Chang
Evaluating Cognitive Performance Through Prompt-Based Methods Using LLM in Education
E. N. Furqon and C.-K. Chang
Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories
Y.-H. Chen, J.-S. Huang, J.-Y. Hung, and C.-K. Chang
Designing an Educational Omics Data Lake: A Multimodal Infrastructure for Technology-Enhanced Learning
C.-K. Chang and K.-H. Li
Collaborative Reasoning Framework for Edge-Deployable EEG Sleep Staging via Local LLM
C.-L. Cheng, T.-C. Lin, and C.-K. Chang
我們提供完整的研究支援：從 IRB 申請、實驗設計到資料匯出，讓您的教學實踐也能成為有影響力的學術研究。
